opencv

Commit Graph

Author	SHA1	Message	Date
Alexander Alekhin	bd396e1fd5	dnn(test): re-enable tests which works with OpenVINO 2021.4.x (3.4)	3 years ago
Alexander Alekhin	31b2d6be75	dnn(test): update InferenceEngine tests (4.x)	3 years ago
Alexander Alekhin	985aa0423d	dnn(test): update InferenceEngine tests	3 years ago
ZaKiiiiiiiii	98b6ce353c	Merge pull request #20904 from Crayon-new:fix_bug_in_maxLayer fix bug: wrong output dimension when "keep_dims" is false in pooling layer. * fix bug in max layer * code align * delete permute layer and add test case * add name assert * check other cases * remove c++11 features * style:add "const" remove assert * style:sanitize file names	3 years ago
Zihao Mu	9085b933d8	Merge pull request #20702 from zihaomu:tf_expand_dim_layer Add ExpandDims layer of tf_importer.cpp * Add ExpandDims to tf_importer. * add -1 expand test case. * Support different dimensions of input. * Compatible with 5-dimensional NDHWC data * Code align * support 3-dim input. * 3-dim bug fixed. * fixing error of code format.	3 years ago
Zihao Mu	51b03b87e6	BiasAdd could load Const from second place.	3 years ago
rogday	d0e612dc36	Merge pull request #20647 from rogday:resize_concat_optimization Fix resize+concat optimization * fix resize+concat optimization * add comment and fix indentation	3 years ago
rogday	6801dd043d	Merge pull request #20494 from rogday:onnx_diagnostic_fix fix ONNXImporter diagnostic mode layer registration issue * fix layer registration, thread unsafe access and align the behavior of DNN_DIAGNOSTICS_RUN between onnx and tf importers * move skipModelInput * print all missing layers * address TF issue	3 years ago
Smirnov Egor	739ff84732	add Max layer to TFImporter	3 years ago
Smirnov Egor	024b43ca06	implement asymmetric padding for conv2d, max_pool and conv2d_backprop_input	3 years ago
Smirnov Egor	c30078c5a3	add NotImplemented layer	3 years ago
Anastasia Murzova	cc6d48959e	Added reduce sum by channel support	4 years ago
Alexander Alekhin	e56e4876e7	dnn(test): update tests for OpenVINO 2021.3	4 years ago
Anastasia Murzova	e75f1b071b	Added reshape corrections	4 years ago
Anastasia Murzova	7a2b3ed471	Corrected DNN elementwise multiplication	4 years ago
Anastasia M	551d4a8ec1	Merge pull request #19477 from LupusSanctus:am/eltwice_vec * Aligned OpenCV DNN and TF sum op behaviour Support Mat (shape: [1, m, k, n] ) + Vec (shape: [1, 1, 1, n]) operation by vec to mat expansion * Added code corrections: backend, minor refactoring	4 years ago
Anastasia Murzova	7894cd3c73	Aligned TF Reshape layer behaviour	4 years ago
Jebastin Nadar	09d2ca17cf	Merge pull request #19449 from SamFC10:tf-leakyrelu * add LeakyRelu to tf-importer * fix whitespace error * added test for leakyrelu	4 years ago
Anastasia Murzova	f2422ace7d	Added TF nearest neighbour resize behaviour alignment Relates to OpenCV issue #18721	4 years ago
Anastasia Murzova	a82c50eac2	Added TF resize_bilinear behaviour alignment Fixes OpenCV issue #18721	4 years ago
YashasSamaga	0f8ab0557e	enable fusion tests, update thresholds and fix missed eltwise fusions	4 years ago
Sergei Slashchinin	61144f935e	Merge pull request #18783 from sl-sergei:fix_conv1d Add support for Conv1D on OpenCV backend * Add support for Conv1D on OpenCV backend * disable tests on other targets/backends * Fix formatting * Restore comment * Remove unnecessary flag and fix test logic * Fix perf test * fix braces * Fix indentation, assert check and remove unnecessary condition * Remove unnecessary changes * Add test cases for variable weights and bias * dnn(conv): fallback on OpenCV+CPU instead of failures * coding style	4 years ago
Liubov Batanina	f3cebb3e1b	Merge pull request #18077 from l-bat:reduce_sum * Supported ReduceSum op * Skip test	4 years ago
YashasSamaga	ae293f27cf	add DetectionOutputOp	4 years ago
YashasSamaga	265acccd56	allow multiple inputs to resize, fix tests	5 years ago
Alexander Alekhin	79c5d07abe	dnn(test): file 'dnn/efficientdet-d0.pb' is optional	5 years ago
Dmitry Kurtaev	d9bada9867	dnn: EfficientDet	5 years ago
Liubov Batanina	ba3cf47600	Merge pull request #17386 from l-bat:tf_clamp_subgraph * Added ClipByValue subgraph * Return const nodes	5 years ago
Dmitry Kurtaev	b4a6aa335d	TensorFlow bilinear resize downscale	5 years ago
Dmitry Kurtaev	25ec4ce6f1	PReLU from Tensorflow	5 years ago
Liubov Batanina	4bf94cb5d1	Fix test	5 years ago
Alexander Alekhin	83c4378d5d	dnn(test): skip failed NGRAPH/MYRIAD tests	5 years ago
Liubov Batanina	1c1762d3f6	Skip myriad	5 years ago
Liubov Batanina	aa08900ac8	Supported TF concat 3d	5 years ago
Dmitry Kurtaev	b36eba7fab	Support FusedResizeAndPadConv2D from TensorFlow	5 years ago
Dmitry Kurtaev	7e4b2057f2	Import TF2.0 network from Keras	5 years ago
Dmitry Kurtaev	b927ce18b2	Support for MobileNetV3-SSD from TensorFlow	5 years ago
YashasSamaga	98b5fb4b9f	disable MaskRCNN test for CUDA_FP16	5 years ago
Dmitry Kurtaev	d8dea7896b	Merge pull request #16628 from dkurt:dnn_ngraph_custom_layers * Custom layers with nGraph * nGraph: multiple outputs from nodes	5 years ago
Dmitry Kurtaev	f3eef792eb	Enable Mask R-CNN with Inference Engine. Full coverage with nGraph	5 years ago
ashishiva3@gmail.com	cd53144ed3	commit: Corrected end tensor_content parsing for StridedSlice layer.	5 years ago
Alexander Alekhin	8ecfb59930	dnn(test): skip failed ngraph tests	5 years ago
Dmitry Kurtaev	8f1e36f7c1	Disable some tests for Myriad target of nGraph Add lightweight IE hardware targets checks nGraph: Concat with paddings Enable more nGraph tests Restore FP32->FP16 for GPU plugin of IE try to fix buildbot Use lightweight IE targets check only starts from R4	5 years ago
Liubov Batanina	e9e3af0aaa	Add global pool by axis test	5 years ago
Yashas Samaga B L	1fac1421e5	Merge pull request #16010 from YashasSamaga:cuda4dnn-fp16-tests * enable tests for DNN_TARGET_CUDA_FP16 * disable deconvolution tests * disable shortcut tests * fix typos and some minor changes * dnn(test): skip CUDA FP16 test too (run_pool_max)	5 years ago
Dmitry Kurtaev	d8e10f3a8d	Enable MaxPooling with indices in Inference Engine	5 years ago
Lubov Batanina	7523c777c5	Merge pull request #15537 from l-bat:ngraph * Support nGraph * Fix resize	5 years ago
Yashas Samaga B L	613c12e590	Merge pull request #14827 from YashasSamaga:cuda4dnn-csl-low CUDA backend for the DNN module * stub cuda4dnn design * minor fixes for tests and doxygen * add csl public api directory to module headers * add low-level CSL components * add high-level CSL components * integrate csl::Tensor into backbone code * switch to CPU iff unsupported; otherwise, fail on error * add fully connected layer * add softmax layer * add activation layers * support arbitary rank TensorDescriptor * pass input wrappers to `initCUDA()` * add 1d/2d/3d-convolution * add pooling layer * reorganize and refactor code * fixes for gcc, clang and doxygen; remove cxx14/17 code * add blank_layer * add LRN layer * add rounding modes for pooling layer * split tensor.hpp into tensor.hpp and tensor_ops.hpp * add concat layer * add scale layer * add batch normalization layer * split math.cu into activations.cu and math.hpp * add eltwise layer * add flatten layer * add tensor transform api * add asymmetric padding support for convolution layer * add reshape layer * fix rebase issues * add permute layer * add padding support for concat layer * refactor and reorganize code * add normalize layer * optimize bias addition in scale layer * add prior box layer * fix and optimize normalize layer * add asymmetric padding support for pooling layer * add event API * improve pooling performance for some padding scenarios * avoid over-allocation of compute resources to kernels * improve prior box performance * enable layer fusion * add const layer * add resize layer * add slice layer * add padding layer * add deconvolution layer * fix channelwise ReLU initialization * add vector traits * add vectorized versions of relu, clipped_relu, power * add vectorized concat kernels * improve concat_with_offsets performance * vectorize scale and bias kernels * add support for multi-billion element tensors * vectorize prior box kernels * fix address alignment check * improve bias addition performance of conv/deconv/fc layers * restructure code for supporting multiple targets * add DNN_TARGET_CUDA_FP64 * add DNN_TARGET_FP16 * improve vectorization * add region layer * improve tensor API, add dynamic ranks 1. use ManagedPtr instead of a Tensor in backend wrapper 2. add new methods to tensor classes - size_range: computes the combined size of for a given axis range - tensor span/view can be constructed from a raw pointer and shape 3. the tensor classes can change their rank at runtime (previously rank was fixed at compile-time) 4. remove device code from tensor classes (as they are unused) 5. enforce strict conditions on tensor class APIs to improve debugging ability * fix parametric relu activation * add squeeze/unsqueeze tensor API * add reorg layer * optimize permute and enable 2d permute * enable 1d and 2d slice * add split layer * add shuffle channel layer * allow tensors of different ranks in reshape primitive * patch SliceOp to allow Crop Layer * allow extra shape inputs in reshape layer * use `std::move_backward` instead of `std::move` for insert in resizable_static_array * improve workspace management * add spatial LRN * add nms (cpu) to region layer * add max pooling with argmax ( and a fix to limits.hpp) * add max unpooling layer * rename DNN_TARGET_CUDA_FP32 to DNN_TARGET_CUDA * update supportBackend to be more rigorous * remove stray include from preventing non-cuda build * include op_cuda.hpp outside condition #if * refactoring, fixes and many optimizations * drop DNN_TARGET_CUDA_FP64 * fix gcc errors * increase max. tensor rank limit to six * add Interp layer * drop custom layers; use BackendNode * vectorize activation kernels * fixes for gcc * remove wrong assertion * fix broken assertion in unpooling primitive * fix build errors in non-CUDA build * completely remove workspace from public API * fix permute layer * enable accuracy and perf. tests for DNN_TARGET_CUDA * add asynchronous forward * vectorize eltwise ops * vectorize fill kernel * fixes for gcc * remove CSL headers from public API * remove csl header source group from cmake * update min. cudnn version in cmake * add numerically stable FP32 log1pexp * refactor code * add FP16 specialization to cudnn based tensor addition * vectorize scale1 and bias1 + minor refactoring * fix doxygen build * fix invalid alignment assertion * clear backend wrappers before allocateLayers * ignore memory lock failures * do not allocate internal blobs * integrate NVTX * add numerically stable half precision log1pexp * fix indentation, following coding style, improve docs * remove accidental modification of IE code * Revert "add asynchronous forward" This reverts commit 1154b9da9da07e9b52f8a81bdcea48cf31c56f70. * [cmake] throw error for unsupported CC versions * fix rebase issues * add more docs, refactor code, fix bugs * minor refactoring and fixes * resolve warnings/errors from clang * remove haveCUDA() checks from supportBackend() * remove NVTX integration * changes based on review comments * avoid exception when no CUDA device is present * add color code for CUDA in Net::dump	5 years ago
Alexander Alekhin	fd11e3a81d	dnn: update IE tests	5 years ago
Dmitry Kurtaev	b8d4664e6e	Fix OpenVINO 2019R1 compilation	5 years ago

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225 Commits (0c9dbc61a1728fbcf8e87374ecc4f73d7e8b2e41)